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Guerrero, C. R.

Publications and source records attributed to Guerrero, C. R..

2 recordsLinked to original sources

Plant pathogenic Ralstonia share two core methyl-accepting chemoreceptors that drive chemotaxis toward distinct amino acid profiles

Ralstonia solanacearum species complex pathogens cause bacterial wilt disease in diverse plant families. These pathogens use chemotaxis and motility to discover host roots. The specificity of this process is conferred by methyl-accepting chemotaxis proteins (MCPs). We explored pangenomic variation of MCPs and other chemotaxis machinery across Ralstonia wilt pathogens. We classified 19 MCPs as broadly conserved, core MCPs, and we identified several accessory MCPs. Within their periplasmic sensing domains, two of the core MCPs contain a motif that is known to bind amino acid ligands: McpA1 and McpA2. To identify the ligands of McpA1 and McpA2, we constructed HyChemosensor strains. In HyChemosensor strains, the periplasmic sensing domains of the MCPs were translationally fused to the signaling domain of a model two component sensor, NarQ. The HyChemosensor assays revealed that the receptors, McpA1 and McpA2, have overlapping binding profiles for acidic amino acids. Nevertheless, McpA2 recognized a broader profile of amino acids. Quantitative swim plate assays confirmed that these receptors facilitate Ralstonias chemoattraction to amino acids. Consistent with prior evidence in a different Ralstonia strain background, mcpA1 was dispensable for virulence on tomato. However, single or double mutants lacking mcpA2 demonstrated reduced virulence on tomato following naturalistic soil soak inoculations. Thus, McpA1 and McpA2 have distinct roles in plant colonization, despite redundancy in their chemical specificity.

microbiology↗

Cultivating efficiency: High-throughput growth analysis of anaerobic bacteria in compact microplate readers.

Anaerobic microbes play crucial roles in environmental processes, industry, and human health. Traditional methods for monitoring the growth of anaerobes, including plate counts or subsampling broth cultures for optical density measurements, are time and resource intensive. The advent of microplate readers revolutionized bacterial growth studies by enabling high-throughput and real-time monitoring of microbial growth kinetics but their use in anaerobic microbiology has remained limited. Here, we present a workflow for using small-footprint microplate readers and the Growthcurver R package to analyze the kinetic growth metrics of anaerobic bacteria. We benchmarked the small-footprint Cerillo Stratus microplate reader against a BioTek Synergy HTX microplate reader in aerobic conditions using Escherichia coli DSM 28618 cultures. The growth rates and carrying capacities obtained from the two readers were statistically indistinguishable. However, the area under the logistic curve was significantly higher in cultures monitored by the Stratus reader. We used the Stratus to quantify the growth responses of anaerobically grown E. coli and Clostridium bolteae DSM 29485 to different doses of the toxin sodium arsenite. The growth of E. coli and C. bolteae was sensitive to arsenite doses of 1.3 M and 0.4 M, respectively. Complete inhibition of growth was achieved at 38 M arsenite for C. bolteae, and 338 M in E. coli. These results show that the Stratus performs similarly to a leading brand of microplate reader and can be reliably used in anaerobic conditions. We discuss the advantages of the small format microplate readers and our experiences with the Stratus. Importance statementWe present a workflow that facilitates the production and analysis of growth curves for anaerobic microbes using small-footprint microplate readers and an R script. This workflow is a cost and space-effective solution to most high-throughput solutions for collecting growth data from anaerobic microbes. This technology can be used for applications in which high-throughput would advance discovery, including microbial isolation, bioprospecting, co-culturing, host-microbe interactions, and drug/toxin-microbial interactions.

microbiology↗